Epshtein argues that a deeper understanding of generalization and principled use of prior knowledge are essential to building AI systems that are more reliable, data-efficient, and interpretable.

Across industries such as aerospace, automotive, medical technology, and industrial automation, embedded systems are becoming ...

The way the architecture of one researcher is influencing the future of reproducible auditable AI in financial systems.

Agent skills act like prompts and can hallucinate or skip steps; harness engineering adds checks, memory control, and retries ...

Logic BIST (LBIST) is a well-stablished traditional solution for meeting automotive testing standards. However, using pseudo-random LBIST patterns can be challenging when trying to achieve ...

We haven't exactly worked out all of AI's kinks yet. Just try asking ChatGPT to solve a basic math problem or tell you how many R's are in "strawberry." You'll get a different, probably unhinged, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

There’s a lot of interest in and concern around the use of AI agents. For organizations grappling with whether and how to use agentic AI, I recommend considering the model from the perspective of ...

UChicago Pritzker School of Molecular Engineering postdoctoral researcher Hong Qiao is the first author of a new paper demonstrating deterministic phase control of the mechanical vibrations known as ...

A person using a laptop which shows a checklist and filling survey forms online. We haven't exactly worked out all of AI's kinks yet. Just try asking ChatGPT to solve a basic math problem or tell you ...